Common Backend Interface Optimization Techniques and Practices
This article shares a collection of practical backend performance‑optimization ideas—including batch database operations, asynchronous processing, caching, pre‑fetching, pooling, event‑driven callbacks, parallel remote calls, lock granularity, file‑based temporary storage, index tuning, deep‑pagination strategies, code‑level refactoring, data compression, NoSQL alternatives, thread‑pool configuration, and machine‑level troubleshooting—to dramatically reduce API latency and improve system scalability.
